Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details:
Online postgraduate study to inspire the next generation of breeders and geneticists to design sustainable genetic improvement programmes. This degree draws on the expertise within the Roslin Institute.
These entry requirements are for the 2026-27 academic year and requirements for future academic years may differ. Entry requirements for the 2027-28 academic year will be published on 1 Oct 2026.
A UK 2:1 honours degree, or its international equivalent, in a life science, including any relevant agriculture, breeding, genetics, statistical or data-driven background.
We may also consider your application if your degree is in an unrelated discipline but you have 3-year relevant work experience; please contact us to check before you apply. You may be admitted to Certificate level only in the first instance.
International qualifications
To find international equivalent qualifications, select where you studied from the country or region list.
See our website for destinations
Core courses
Certificate phase
Breeding programmes and their modelling
Genomics and phenomics in breeding
Population and quantitative genetics for breeding
Principles of genetic evaluation
Sustainable breeding and genetics
Diploma phase
Advanced modelling in genetic evaluation
Applications of data-driven breeding and genetics to real-life challenges
Future breeding and genetics
Research and professional skills for data-driven breeding and genetics
Masters phase
Dissertation - 60 credits, must be written within a 12-month period
Option courses
Elective courses
Certificate phase
An introduction to transboundary diseases and their impact on trade and wildlife populations
Data analysis with R
Introduction to applied conservation genetics - part 1
Population genetics for conservation breeding
Quality Management in wildlife forensic science
Diploma phase
Advanced statistics
Control of economically important parasites
Data visualisation: knowledge transfer
Engaging with digital research
Food policy
Genetic data analysis for conservation management and wildlife forensics
Introduction to wildlife forensics
New developments in epidemiology and the control of vector borne disease
Pastoralism and herd health
Project planning and decision support for animal disease control
Science communication and engagement for practice
Statistical modelling for epidemiology
The use and evolution of digital data analysis and collection tools
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